Evidence map›Paper›PMID 33526044›Full record

ArticleBreast cancer research : BCR2021

In modern times, how important are breast cancer stage, grade and receptor subtype for survival: a population-based cohort study.

Anna L V Johansson, Cassia B Trewin, Irma Fredriksson, Kristin V Reinertsen, Hege Russnes, Giske Ursin

Abstract read
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Article in Breast cancer research : BCR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed.

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  15. Lamin A/C as a biomarker for breast cancer.Molecular biology reports · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Anna L V JohanssonCancer Registry of Norway, Oslo, Norway. anna.johansson@ki.se.ORCID 0000-0002-1191-7231
Cassia B TrewinDepartment of Registration, Cancer Registry of Norway, Oslo, Norway.
Irma FredrikssonDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Kristin V ReinertsenDepartment of Oncology, Oslo University Hospital, Oslo, Norway.
Hege Russnes *Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Giske Ursin *Cancer Registry of Norway, Oslo, Norway.

Funding

Helse Sør-Øst RHF 25479
6 · The paper itself

Abstract

backgroundIn breast cancer, immunohistochemistry (IHC) subtypes, together with grade and stage, are well-known independent predictors of breast cancer death. Given the immense changes in breast cancer treatment and survival over time, we used recent population-based data to test the combined influence of IHC subtypes, grade and stage on breast cancer death.

methodsWe identified 24,137 women with invasive breast cancer aged 20 to 74 between 2005 and 2015 in the database of the Cancer Registry of Norway. Kaplan-Meier curves, mortality rates and adjusted hazard ratios for breast cancer death were estimated by IHC subtypes, grade, tumour size and nodal status during 13 years of follow-up.

resultsWithin all IHC subtypes, grade, tumour size and nodal status were independent predictors of breast cancer death. When combining all prognostic factors, the risk of death was 20- to 40-fold higher in the worst groups compared to the group with the smallest size, low grade and ER+PR+HER2- status. Among node-negative ER+HER2- tumours, larger size conferred a significantly increased breast cancer mortality. ER+PR-HER2- tumours of high grade and advanced stage showed particularly high breast cancer mortality similar to TNBC. When examining early versus late mortality, grade, size and nodal status explained most of the late (> 5 years) mortality among ER+ subtypes.

conclusionsThere is a wide range of risks of dying from breast cancer, also across small breast tumours of low/intermediate grade, and among node-negative tumours. Thus, even with modern breast cancer treatment, stage, grade and molecular subtype (reflected by IHC subtypes) matter for prognosis.

Indexed as

AdultAgedBiomarkers, TumorBreast NeoplasmsDisease ManagementFemaleHumansImmunohistochemistryKaplan-Meier EstimateMiddle AgedNeoplasm GradingNeoplasm StagingNorwayPopulation SurveillancePrognosisProportional Hazards ModelsBiomarkers, TumorBreast cancerERGradeHER2IHC subtypeKi67PRpTN statusSurvival/deathTNM stage

Identifiers

PMID33526044
PMCPMC7852363

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.